Where U Elevate
Website:
whereuelevate.com
Job details:
We are looking for a hands-on leader to own and scale the Databricks Practice end-to-end. The role requires driving solution architecture, delivery excellence, pre-sales engagement, and practice growth while establishing and scaling a Databricks Center of Excellence (CoE).
The ideal candidate will combine technical expertise in Databricks and data engineering with strong leadership and client engagement skills to deliver enterprise-grade data, analytics, and AI solutions.
Key Responsibilities:
Strategic Leadership & Practice Growth
- Own the Databricks practice end-to-end, including team building, delivery excellence, and business growth.
- Establish and scale the Databricks Center of Excellence (CoE) to deliver enterprise-grade data, analytics, and AI solutions.
- Participate in business development and pre-sales activities, including client discovery calls, POCs, and solution discussions.
- Mentor engineers and drive Databricks certifications to maintain high technical standards within the team.
Technical Architecture & Implementation
- Design and implement scalable Databricks Lakehouse architectures.
- Lead development using Apache Spark for both batch and streaming workloads.
- Deliver enterprise analytics and AI solutions built on modern data platforms.
- Define and enforce best practices for:
- Cost optimization
- Security and governance
- Performance tuning
- Develop reusable accelerators, frameworks, and reference architectures to streamline future solution delivery.
Requirements:
Experience
- 8–12+ years of experience in Data Engineering / Big Data
- 3+ years of strong hands-on experience with Databricks
Technical Skills
- Expertise in Apache Spark
- Strong knowledge of Delta Lake and Unity Catalog
- Strong programming skills in Python and SQL
- Experience working with cloud platforms (AWS / Azure / GCP)
Data Engineering Skills
- Experience with ETL / ELT pipelines
- Strong understanding of data modeling
- Experience in performance optimization and large-scale data processing
Workflow & Orchestration
Experience with orchestration tools such as Apache Airflow or Azure Data Factory (ADF)
Preferred Skills
- Experience with MLflow and Feature Store
- Knowledge of streaming technologies such as Kafka or Databricks Auto Loader
- Experience with BI tools
- Databricks certifications are a plus
Must to have skills
- Databricks
- Apache Spark
- Databricks Lakehouse Architecture
- Delta Lake
- Unity Catalog
- Python
- SQL
- Data Engineering
- Big Data
- ETL / ELT
- Data Modeling
- Data Pipeline Development
- Performance Optimization
- AWS / Azure / GCP
- Cloud Data Platforms
- Apache Airflow / Azure Data Factory (ADF)
- Batch Processing
- Streaming Data Pipelines
Click on Apply to know more.